# Markov chains and Hidden Markov Models

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/read/m2-hmm

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/read-chapter/m2-hmm/

Unit 4, pages 47–73

1. [Markov chains: read a transition table and multiply a path](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-hmm--markov-chain/)
2. [Hidden states, observations, transitions and emissions](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-hmm--hmm-components/)
3. [Estimate transition and emission probabilities from tagged data](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-hmm--transition-emission-estimation/)
4. [HMM path probabilities: three complete numerical examples](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-hmm--hot-cold-paths/)
5. [POS HMM worked corpus: Mary, Jane, can, will and spot](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-hmm--tagging-corpus-case/)